-
Pfeffer, M.: Automatische Vergabe von RVK-Notationen mittels fallbasiertem Schließen (2009)
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- Abstract
- Klassifikation von bibliografischen Einheiten ist für einen systematischen Zugang zu den Beständen einer Bibliothek und deren Aufstellung unumgänglich. Bislang wurde diese Aufgabe von Fachexperten manuell erledigt, sei es individuell nach einer selbst entwickelten Systematik oder kooperativ nach einer gemeinsamen Systematik. In dieser Arbeit wird ein Verfahren zur Automatisierung des Klassifikationsvorgangs vorgestellt. Dabei kommt das Verfahren des fallbasierten Schließens zum Einsatz, das im Kontext der Forschung zur künstlichen Intelligenz entwickelt wurde. Das Verfahren liefert für jedes Werk, für das bibliografische Daten vorliegen, eine oder mehrere mögliche Klassifikationen. In Experimenten werden die Ergebnisse der automatischen Klassifikation mit der durch Fachexperten verglichen. Diese Experimente belegen die hohe Qualität der automatischen Klassifikation und dass das Verfahren geeignet ist, Fachexperten bei der Klassifikationsarbeit signifikant zu entlasten. Auch die nahezu vollständige Resystematisierung eines Bibliothekskataloges ist - mit gewissen Abstrichen - möglich.
- Date
- 22. 8.2009 19:51:28
- Series
- Zeitschrift für Bibliothekswesen und Bibliographie : Sonderband ; 96
- Source
- Wissen bewegen - Bibliotheken in der Informationsgesellschaft / 97. Deutscher Bibliothekartag in Mannheim, 2008. Hrsg. von Ulrich Hohoff und Per Knudsen. Bearb. von Stefan Siebert
-
Czap, H.: Einführung in Wissensorganisation und Case-Based Reasoning (1996)
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- Abstract
- CBR ist eng gekoppelt mit Lernen, verstanden als Anreicherung von Wissen. Wissen wird unterteilt in Faktenwissen und Handhabungs-/Orientierungswissen. Letzteres verfügbar zu haben wird als primäres Ziel von Lernen und damit auch von CBR herausgearbeitet. Die Übertragbarkeitsproblematik, d.h. die Nutzung von gespeichertem Erfahrungswissen (alte Fälle und ihre Lösungen) zur Lösung neuer Problemstellungen wird an einem eingängigen Beispiel (Dunckers Bestrahlungsproblem illustriert). Abschließend wird der CBR-Zyklus kurz vorgestellt
- Series
- Fortschritte in der Wissensorganisation; Bd.4
- Source
- Analogie in der Wissensrepräsentation: Case-Based Reasoning und räumliche Modelle. 4. Tagung der deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Trier, 17.-20. Oktober 1995. Hrsg.: H. Czap u.a
-
Analogie in der Wissensrepräsentation: Case-Based Reasoning und räumliche Modelle : 4. Tagung der deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Trier, 17.-20. Oktober 1995 (1996)
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- Abstract
- Enthält die Beiträge: CZAP, H.: Einführung in die Wissensorganisation und Case-Based Reasoning (CBR); ALTHOFF, K.-D., R. TRAPHÖNER u. S. WESS: Efficient integration on induction and Case-Base Reasoning: the INRECA System; SCHIEMANN, I. u. A. WOLTERING: Fallspeicherorganisation in der CBR-Shell Janus; COULON, C.-H.: Die Rolle des Anpassungswissens im CBR (Am Beispiel der Ausnutzung von Struktur im CBR); SCHAAF, J.W.: Fischen und Versenken: ein anytime-Algorithmus zur Suche nach situationsgerechten Fällen; JAENECKE, P.: Erkenntnistheoretische Untersuchungen über fallbezogenes Schlußfolgern; LÖCKENHOFF, H.: Cabse-Based Teaching/Learning for issue orientation and control; BIES, W.: 'Denken in Bildern': zu den Metaphern der Wissensorganisation; PRIBBENOW, S.: Räumliches Wissen: zur Interaktion von Logik und Bildern; STOLLE, M. u. V. KIRCHBERG: Mental maps in der Stadtforschung: Grundlage und Perspektiven; BAYER, H. u. R. BAUEREISS: Der Familienatlas als sozialräumliche Information; HARDT, F., G. TASSOUKIS u. H.P. OHLY: Räumliche Hintergrundinformation in bibliographischen Datenbanken; SALENTIN, K.: Geodemographische Ansätze beim Sampling im Direktmarketingverfahren; PIERAU, K., G. NARWELEIT u. H. THÜMMLER: Entwicklung eines Geographisch-Historischen Informationssystems; LENSKI, W. u. E. WETTE-ROCH: Terminologie und Wissensrepräsentation in pragmatischer Sichtweise; FUGMANN, R.: Die Entlineaririserung und Strukturierung von Texten zur Inhaltserschließung und Wissensrepräsentation; LORENZ, B.: Überlegungen zur Verbundklassifikation; NACKE, O.: Ein einfaches Verfahren zur Analyse großer Wissensmengen; BOL, G., E. HOTZ u. T. STÜTZLE: Neuronale Netze zur Klassifikation von Fehlrern in der statistischen Prozeßregulierung
- Series
- Fortschritte in der Wissensorganisation; Bd.4
-
Jaenecke, P.: Erkenntnistheoretische Untersuchungen über fallbezogenes Schlußfolgern (1996)
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- Abstract
- Mangelndes methodisches Bewußtsein in der Künstlichen Intelligenz hat zur Folge, daß Methoden, die auf einer einzigen zunächst vielversprechenden Idee beruhen, zugunsten anderer fallengelassen werden, sowie sich ernste Schwierigkeiten ergeben. Doch für Methoden gilt nicht das Alles-oder-Nichts-Prinzip; Ziel muß es daher sein, verschiedene sich hinsichtlich ihrer Anwendbarkeit einander ergänzende Methoden aufeinander abzustimmen und zu einem arbeitsfähigen System zu vereinen; das trifft insbesondere auf das bereits vom Ansatz her auf Methodenvielfalt angelegte fallbezogene Schlußfolgern zu. Die von den Kognitionswissenschaften gebotenen Voraussetzungen sind jedoch für solch ein Vorhaben nicht günstig. Es herrscht ein Theorien- und Modellwirrwar, das zu einem Wirrwar von Begriffen, Sichtweisen und Verfahren geführt hat. Die vorliegende Arbeit skizziert einen Ausweg aus dieser unbefriedigenden Situation. Sie orientiert sich an den Fragen 'welche Aufgaben sollen mit fallbezogenem Schlußfolgern gelöst werden?', 'durch welche Merkmale ist dieser Ansatz charakterisiert?' und beschäftigt sich abschließend mit den sich aus den Antworten ergebenden Folgerungen
- Series
- Fortschritte in der Wissensorganisation; Bd.4
- Source
- Analogie in der Wissensrepräsentation: Case-Based Reasoning und räumliche Modelle. 4. Tagung der deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Trier, 17.-20. Oktober 1995. Hrsg.: H. Czap u.a
-
Coulon, C.-H.: ¬Die Rolle des Anpassungswissens im CBR : am Beispiel der Ausnutzung von Struktur im CBR (1996)
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- Abstract
- Ein wesentlicher Vorteil des CBR im Vergleich zu generativen Ansätzen ist ein geringer Bedarf an das zu formalisierende Wissen. Insbesondere ist es möglich trotz unvollständigen Anpassungswissens vollständige Lösungen zu finden. Dieser Beitrag beschreibt, wodurch sich Anpassungswissen von Regelwissen unterscheidet und wieviel Anpassungswissen man unbedingt benötigt. Die Leistungsfähigkeit eines wissensarmen CBR-Ansatzes wird am Beispiel der Anpassung toplogischer Strukturen diskutiert
- Series
- Fortschritte in der Wissensorganisation; Bd.4
- Source
- Analogie in der Wissensrepräsentation: Case-Based Reasoning und räumliche Modelle. 4. Tagung der deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Trier, 17.-20. Oktober 1995. Hrsg.: H. Czap u.a
-
Mazzucchelli, A.; Sartori , F.: String similarity in CBR platforms : a preliminary study (2014)
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- Abstract
- Case Based Reasoning is a very important research trend in Artificial Intelligence and can be a powerful approach in the solution of complex problems characterized by heterogeneous knowledge. In this paper we present an ongoing research project where CBR is exploited to support the identification of enterprises potentially going to bankruptcy, through a comparison of their balance indexes with the ones of similar and already closed firms. In particular, the paper focuses on how developing similarity measures for strings can be profitably supported by metadata models of case structures and semantic methods like Query Expansion.
- Pages
- S.22-29
- Series
- Communications in computer and information science; 478
-
Sauer, C.S.: Analyse von Webcommunities und Extraktion von Wissen aus Communitydaten für Case-Based Reasoning Systeme (2010)
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- Abstract
- Die vorliegende Arbeit befasst sich mit den Möglichkeiten der Informationsextraktion aus den Daten von Webcommunities und der Verwendung der extrahierten Informationen in Case-Based Reasoning- (CBR) Systemen. Im Rahmen der Arbeit wird auf die Entwicklung der Webcommunities im Zeitraum der letzten 30 Jahre eingegangen. Es wird eine Klassifikation der derzeitig anzutreffenden Webcommunities in verschiedene Kategorien von Webcommunities vorgenommen. Diese Klassifikation erfolgt hinsichtlich der Struktur, der technischen Mittel sowie der Interessen der Nutzer dieser Webcommunities. Aufbauend auf die vorgenommene Klassifikation von Webcommunities erfolgt eine Untersuchung der Eignung dieser Kategorien von Webcommunities zur Informationsextraktion im Kontext der Verwendung der extrahierten Informationen in CBR-Systemen. Im selben Kontext werden verschiedene Ansätze und Techniken der Informationsextraktion auf ihre Eignung zur Extraktion von Wissen speziell für die Wissenscontainer von CBR -Systeme geprüft. Aufbauend auf den dadurch gewonnenen Erkenntnissen wird, angelehnt an den Prozess der Knowledge Discovery in Databases, ein eigenes Prozessmodell der Wissensextraktion aus Webcommunities für CBR-Systeme entworfen. Im Zuge der näheren Betrachtung dieses Prozessmodells wird auf verschiedene, durch die beabsichtigte Verwendung der extrahierten Informationen in den vier Wissenscontainern des CBR bedingte, Anforderungen an NLP- sowie IE-Techniken, die zur Extraktion dieser Daten verwendet werden, eingegangen. Die in den theoretischen Betrachtungen erlangten Erkenntnisse werden dann dazu eingesetzt, eine Anwendung zur Informationsextraktion aus einer Webcommunity für ein CBR-System, in Form der Knowledge Extraction Workbench zu implementieren. Diese IEAnwendung arbeitet im Kontext des auf der SEASALT-Architektur aufbauenden Projektes docQuery. Die Realisierung dieser IE-Anwendung wird dokumentiert sowie die Extraktionsergebnisse der Anwendung hinsichtlich ihres Umfanges und ihrer Qualität evaluiert.
-
Pfeffer, M.: Automatische Vergabe von RVK-Notationen anhand von bibliografischen Daten mittels fallbasiertem Schließen (2007)
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- Abstract
- Klassifikation von bibliografischen Einheiten ist für einen systematischen Zugang zu den Beständen einer Bibliothek und deren Aufstellung unumgänglich. Bislang wurde diese Aufgabe von Fachexperten manuell erledigt, sei es individuell nach einer selbst entwickelten Systematik oder kooperativ nach einer gemeinsamen Systematik. In dieser Arbeit wird ein Verfahren zur Automatisierung des Klassifikationsvorgangs vorgestellt. Dabei kommt das Verfahren des fallbasierten Schließens zum Einsatz, das im Kontext der Forschung zur künstlichen Intelligenz entwickelt wurde. Das Verfahren liefert für jedes Werk, für das bibliografische Daten vorliegen, eine oder mehrere mögliche Klassifikationen. In Experimenten werden die Ergebnisse der automatischen Klassifikation mit der durch Fachexperten verglichen. Diese Experimente belegen die hohe Qualität der automatischen Klassifikation und dass das Verfahren geeignet ist, Fachexperten bei der Klassifikationsarbeit signifikant zu entlasten. Auch die nahezu vollständige Resystematisierung eines Bibliothekskataloges ist - mit gewissen Abstrichen - möglich.
- Imprint
- Berlin : Humboldt-Universität / Institut für Bibliotheks- und Informationswissenschaft
-
Akerele, O.; David, A.; Osofisan, A.: Using the concepts of Case Based Reasoning and Basic Categories for enhancing adaptation to the user's level of knowledge in Decision Support System (2014)
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- Abstract
- In most search systems, mapping queries with documents employs techniques such as vector space model, naïve Bayes, Bayesian theorem etc. to classify resulting documents. In this research studies, we are proposing the use of the concept of basic categories to representing the user's level of knowledge based on the concepts he employed during his search activities, so that the system could propose adapted results based on the observed user's level of knowledge. Our hypothesis is that this approach will enhance the decision support system for solving decisional problems in which information retrieval constitutes the backbone technical problem.
- Series
- Advances in knowledge organization; vol. 14
- Source
- Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
-
Ram, A.; Santamaria, J.C.: Continuous case-based reasoning (1997)
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- Abstract
- Introduces a new method for continuous case-based reasoning, and discusses its applications to the dynamic selection, modification and acquisition of robot bahaviours in an autonomous navigation system, SINS (self-improving navigation system): The computer program and the underlying method are systematically evaluated through statistical analysis of results from several empirical studies. Discusses case-based reasoning issues addressed by this research
- Date
- 6. 3.1997 16:22:15
-
Kohno, T.: Error repair and knowledge acquisition via case-based reasoning (1997)
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- Abstract
- Proposes a new architecture combining rule-based reasoning (RBR), case based reasoning (CBR) and knowledge acquisition technology in a system which solves pattern search problems. Details the pattern search problem, the system architecture and functions, error repair method via case-based reasoning, the knowledge acquisition method, system evaluation, and discusses related work
- Date
- 6. 3.1997 16:22:15
-
Löckenhoff, H.: Case-Based Teaching/Learning for issue orientation and control (1996)
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- Abstract
- Case Based Reasoning (CBR) is discussed in connection with a wide variety of knowledge aspects. Obviously knowledge acquisition under conditions of rapid and increasingly disruptive change will necessarily rely on the proper use of case experience. The following remarks emerged from practice oriented teaching/learning in the domians of social sciences, practical philosophy, didactics and epistemology. The main interest will be directed to methodical concepts of knowledge transfer, in particular to didactics and learning within the teaching/learning system
- Series
- Fortschritte in der Wissensorganisation; Bd.4
- Source
- Analogie in der Wissensrepräsentation: Case-Based Reasoning und räumliche Modelle. 4. Tagung der deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Trier, 17.-20. Oktober 1995. Hrsg.: H. Czap u.a
-
Golding, A.R.; Rosenbloom, P.S.: Improving accuracy by combining rule-based and case-based reasoning (1996)
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- Date
- 6. 3.1997 16:22:15
-
Araj, H.: Integration of an analogical reasoning model in a model of case resolution (1996)
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- Abstract
- The resolution of cases in law depends on the generation of metaphors by analogy. It progresses by association, affinity and juxtaposition of two divergent ideas in an integrative approach. To argue a case, a legal expert cannot limit himself to the perception of isolated facts, but instead must find affinities between fields expressing more cohesion in law. In this paper, it is argued that the legal specialist relies on abstract categorization to discover a precedent and thereby create a metaphorical link that serves in the argumentation stage, and also later on in the resolution of the case. On this basis, a model of case reasoning is charted that integrates a model of analogical reasoning
-
Issues and applications of case-based reasoning in design (1997)
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- Footnote
- Rez. in: JASIS 49(1998) no.8, S.762-764 (P.G. Underwood)
-
He, W.; Erdelez, S.; Wang, F.-K.; Shyu, C.-R.: ¬The effects of conceptual description and search practice on users' mental models and information seeking in a case-based reasoning retrieval system (2008)
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- Abstract
- This paper reportes a study that investigated the effects of conceptual description and search practice on users' mental models and information seeking in a case-based reasoning retrieval (CBR) system with a best match search mechanism. This study also found examined how the presence of a mental model affects the users' search performance and satisfaction in this system. The results of this study revealed that the conceptual description and search practice treatments do not have significantly different effects on the types of user's mental models, search correctness, and search satisfaction. However, the search practice group spent significantly less time than the conceptual description group in finding the results. Qualitative analysis for the subjects' post mental models revealed that subjects in the conceptual description group seem to have more complete mental models of the best match system than those in the search practice group. This study also that subjects with the best match mental models have significantly higher search correctness and search result satisfaction than subjects without the best match mental models. However, the best match mental models do not guarantee less search time in finding the results. This study did not find a significant correlation among search time, search correctness and search satisfaction. The study concludes with suggestions for future research and implications for system developers who are interested in CBR retrieval systems.
-
Dearden, A.M.; Harrison, M.D.: Abstract models for HCI (1997)
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- Abstract
- Investigates the use of formal mathematical models in the design of interactive systems and argues for the development of generic models that describe the behaviour of a class of interactive systems. It is possible to construct a generic model of a class of interactive systems at an intermediate level of abstraction. Such a model would offer wider reusability than detailed specifications of a single system, but greater expressiveness and support for software development than fully generate abstract models. Reviews a number of existing models in the literature and presents a generic model of interactive case memories, a class of systems used in case-based reasoning
-
Tsatsaoulis, C.; Cheng, Q.; Wei, H.-Y.: Integrating case-based reasoning and decision theory (1997)
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- Abstract
- Reports on a methodology that lets case-based reasoning use decision-theoretic approaches to deal with unknown proble features and how to make decisions in the presence of these unknowns. Implements the methodology in a case-based design assistant that helps chemists design pharmaceuticals
-
Mataras, R.L.D.; Plaza, E.: Case-based reasoning : an overview (1997)
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- Abstract
- Gives an overview of CBR with emphasis on European ctivites in the field. Identifies major open problems of CBR associated with: retrieval/selection, memory organization, matching, adaptation/evaluation, forgetting and integration with other techniques
-
Althoff, K.-D.; Wess, S.; Manago, M.; Bergmann, R.; Maurer, F.; Auriol, E.; Conruyt, N.; Traphöner, R.; Bräuer, M.; Dittrich, S.: Induction and case-based reasoning for classification tasks (1994)
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- Abstract
- We present 2 techniques for reasoning from cases to solve classification tasks: induction and case-based reasoning. We contrast the 2 technologies (that are often confused) and show how they complement each other. Based on this, we describe how they are integrated in one single platform for reasoning from cases: the INRECA system
- Series
- Studies in classification, data analysis, and knowledge organization
